AI and Machine Learning in Retail Pharmacy: Systematic Review of Related Literature

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 15 Nov 2018Publisher:ABC JournalsJournal:ABC Journal of Advanced Research, volume 7, pages 109-112 (issn: 2304-2621, eissn: 2312-203X,

Copyright policy )

Authors: Praveen Kumar Donepudi;

doi: 10.18034/abcjar.v7i2.514

AI and Machine Learning in Retail Pharmacy: Systematic Review of Related Literature

- Summary
- Subjects
- Metrics

Abstract

Artificial intelligence and machine learning are the future of every field. These can be applied in any field for better or efficient performance. Both these can be used in retail pharmacy as a solution to different problems. The machine learning prediction model can help in predicting the disease of patients and it can also be used to predict the medicine for the patient. AI systems can be used to automate the tasks that will help in saving time and also the tasks will be performed by using fewer resources.

Keywords

Artificial intelligence, retail pharmacy, machine learning, prediction algorithms

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	19
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%